Assessment of the Sensitivity of Soil Parameters in Sediment Production in the Ichu River Experimental Basin

This research aims to determine how much is the sensitivity of soil parameters in the production of sediments through the model distributed at the level of cells in the Ichu River Basin, which is located in the Andes of Peru, with an approximate surface area of 1,380.17 km², corresponding to the control section and tributary to the Mantaro River. Also, for the evaluation of sensitivity determine the amount of sediments of the textures: silt, clay and sand. To achieve the objectives that have been raised in this research has been used the conceptual distributed hydrological model TETIS v9.1, which has been calibrated and validated using the climatic variables that are recorded at the hourly level in six weather stations and a hydrometric station, synthetic precipitation was also used withsatellite stations (CHIRPS) of the Climate Hazards Group that has registered with a grid of 0.05 degrees of resolution, from 1981 to the present. To determine the solid component, the TETIS v9.1 model uses the equations developed in the CASCade 2 Dimensional SEDimentation model (CASC2D-SED) that presents conceptual approaches with physical basis. The sediment processes on slopes this CASC2D-SED model simulates in two dimensions,as well as helps to determine the quantification of sediments at any point in the basin considering all physical processes. On the other hand, the OpenLandMap data portal has been used for land cover data of the K factor corresponding to the susceptibility of the soil that can suffer losses due to erosion. Also, the Moderate Resolution Imaging Spectroradiometer (MODIS) observation system to determine the Normalized Difference Vegetation Indices (NDVI) for the culture factor C. The parameter P corresponding to the conservation technique applied, has been developed using remote sensing techniques using the Google Earth Engine (GEE) platform. Finally, the results obtained from the evaluation of the sensitivity of the parameters are significant, in this way the hypothesis that is raised is approved.